Operation Cell Data Processor Parallel Execution
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Solution Overview
Problem
The pace of increasing data processor speeds has slowed significantly, necessitating new technological innovations to enhance performance.
Innovation Solution
The introduction of operation cells that independently determine when to execute computer instructions, allowing for decentralized instruction execution and the ability to forward instruction execution responsibilities between cells, thereby increasing parallel processing opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional centralized data processor architecture is used, then control is simplified, but processing speed increases are stalled
Solution Approach 1:
The processor is divided into multiple operation cells, each capable of independent instruction execution. This segmentation allows parallel processing across multiple cells, increasing overall processor speed while distributing control logic to reduce centralization bottlenecks.
Solution Approach 2:
The operation cells can dynamically assume different roles (master or slave) based on runtime conditions. This dynamic reconfigurability allows the system to adapt its architecture for optimal performance, enabling speed improvements through parallel execution when conditions permit.
2Productivity
If operation cells independently determine instruction execution, then parallel processing increases, but control complexity increases
Solution Approach 1:
Each operation cell autonomously determines when to execute instructions based on its own state and received signals, without requiring centralized control for every decision. This self-service capability increases productivity through parallel execution while reducing the burden on central control logic.
Solution Approach 2:
The master operation cell monitors slave cells and provides feedback signals to coordinate execution. This feedback mechanism enables coordinated parallel processing without requiring complex centralized control, as the distributed cells communicate their status and receive guidance through standardized feedback channels.
3Power
If instruction execution is decentralized to operation cells, then processing capacity increases, but coordination difficulty increases
Solution Approach 1:
All operation cells are designed with identical capabilities to execute any instruction, making them universal processing units. This multi-functionality increases processing capacity while simplifying coordination, as standardized cells with consistent interfaces are easier to manage than specialized units.
Solution Approach 2:
The master operation cell acts as an intermediary that receives instructions from external sources and distributes them to slave cells. This intermediary role simplifies coordination by providing a single point of entry and distribution, reducing the complexity of direct many-to-many communication between all cells.
4Adaptability or versatility
If operation cells forward instruction execution responsibilities, then flexibility increases, but communication overhead increases
Solution Approach 1:
Operation cells are pre-configured with the capability to forward instructions to other cells, and the forwarding paths are established in advance. This preliminary preparation allows rapid instruction routing when needed, increasing flexibility while minimizing communication delays during actual execution.
Solution Approach 2:
The instruction forwarding capability is dynamically activated based on runtime conditions such as cell availability and workload distribution. This dynamic approach allows the system to exploit forwarding opportunities when they reduce overall execution time while avoiding unnecessary forwarding that would increase communication overhead.
Data Source
AI summary
Computer program instruction oriented data processor logic cell that independently determines when its instruction should be processed, data processors made of the aforementioned logic cells, networks made of the aforementioned data processors, and methods of operating the aforementioned.